TY - GEN
T1 - A vision for the systematic monitoring and improvement of the quality of electronic health data
AU - Dixon, Brian E.
AU - Rosenman, Marc
AU - Xia, Yuni
AU - Grannis, Shaun J.
PY - 2013
Y1 - 2013
N2 - In parallel with the implementation of information and communications systems, health care organizations are beginning to amass large-scale repositories of clinical and administrative data. Many nations seek to leverage so-called Big Data repositories to support improvements in health outcomes, drug safety, health surveillance, and care delivery processes. An unsupported assumption is that electronic health care data are of sufficient quality to enable the varied use cases envisioned by health ministries. The reality is that many electronic health data sources are of suboptimal quality and unfit for particular uses. To more systematically define, characterize and improve electronic health data quality, we propose a novel framework for health data stewardship. The framework is adapted from prior data quality research outside of health, but it has been reshaped to apply a systems approach to data quality with an emphasis on health outcomes. The proposed framework is a beginning, not an end. We invite the biomedical informatics community to use and adapt the framework to improve health data quality and outcomes for populations in nations around the world.
AB - In parallel with the implementation of information and communications systems, health care organizations are beginning to amass large-scale repositories of clinical and administrative data. Many nations seek to leverage so-called Big Data repositories to support improvements in health outcomes, drug safety, health surveillance, and care delivery processes. An unsupported assumption is that electronic health care data are of sufficient quality to enable the varied use cases envisioned by health ministries. The reality is that many electronic health data sources are of suboptimal quality and unfit for particular uses. To more systematically define, characterize and improve electronic health data quality, we propose a novel framework for health data stewardship. The framework is adapted from prior data quality research outside of health, but it has been reshaped to apply a systems approach to data quality with an emphasis on health outcomes. The proposed framework is a beginning, not an end. We invite the biomedical informatics community to use and adapt the framework to improve health data quality and outcomes for populations in nations around the world.
KW - Information Storage and Retrieval
KW - Medical Informatics
KW - Medical Records Systems, Computerized
KW - Quality Control
KW - Quality Improvement
UR - http://www.scopus.com/inward/record.url?scp=84894380909&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84894380909&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-289-9-884
DO - 10.3233/978-1-61499-289-9-884
M3 - Conference contribution
C2 - 23920685
AN - SCOPUS:84894380909
SN - 9781614992882
T3 - Studies in Health Technology and Informatics
SP - 884
EP - 888
BT - MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics
PB - IOS Press
T2 - 14th World Congress on Medical and Health Informatics, MEDINFO 2013
Y2 - 20 August 2013 through 23 August 2013
ER -